With AI tools like Gemini 3.0 democratizing execution, the ability to generate unique, scroll-stopping ideas and provide strong design references becomes the key differentiator. Good taste and a clear vision now matter more than the technical ability to implement a design from scratch.

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AI won't replace designers because it lacks taste and subjective opinion. Instead, as AI gets better at generating highly opinionated (though not perfect) designs, it will serve as a powerful exploration tool. This plants more flags in the option space, allowing human designers to react, curate, and push the most promising directions further, amplifying their strategic role.

As AI makes it easy to generate 'good enough' software, a functional product is no longer a moat. The new advantage is creating an experience so delightful that users prefer it over a custom-built alternative. This makes design the primary driver of value, setting premium software apart from the infinitely generated.

Figma CEO Dylan Field argues that while AI can quickly generate "good enough" results, this baseline is no longer sufficient. As AI floods the market with generic software and designs, true differentiation will come from human-led craft, taste, and pushing beyond the initial AI output.

As AI makes software creation faster and cheaper, the market will flood with products. In this environment of abundance, a strong brand, point of view, taste, and high-quality design become the most critical factors for a product to stand out and win customers.

Perplexity's VP of Design, Henry Modiset, states that when hiring, he values product intuition above all else. AI can generate options, but the essential, irreplaceable skill for designers is the ability to choose what to build, how it fits the market, and why users will care.

As AI models become proficient at generating high-quality UI from prompts, the value of manual design execution will diminish. A professional designer's key differentiator will become their ability to build the underlying, unique component libraries and design systems that AI will use to create those UIs.

The true creative potential for AI in design isn't generating safe, average outputs based on training data. Instead, AI should act as a tool to help designers interpolate between different styles and push them into novel, underexplored aesthetic territories, fostering originality rather than conformity.

The era of winning with merely functional software is over. As technology, especially AI, makes baseline functionality easier to build, the key differentiator becomes design excellence and superior craft. Mediocre, 'good enough' products will lose to those that are exceptionally well-designed.

AI coding tools generate functional but often generic designs. The key to creating a beautiful, personalized application is for the human to act as a creative director. This involves rejecting default outputs, finding specific aesthetic inspirations, and guiding the AI to implement a curated human vision.

AI tools can drastically increase the volume of initial creative explorations, moving from 3 directions to 10 or more. The designer's role then shifts from pure creation to expert curation, using their taste to edit AI outputs into winning concepts.